Handling Missing Data in Distributed Systems: A Scala and GCP Dataproc ApproachGCP Dataproc enables efficient data pipeline creation with Scala for handling missing data in datasets.
Build a simple data pipeline on OVHcloud with ScalaBuild a simple data pipeline using Spark on OVHcloud by setting up necessary services and organizing data in Object Storage.
Handling Missing Data in Distributed Systems: A Scala and GCP Dataproc ApproachGCP Dataproc enables efficient data pipeline creation with Scala for handling missing data in datasets.
Build a simple data pipeline on OVHcloud with ScalaBuild a simple data pipeline using Spark on OVHcloud by setting up necessary services and organizing data in Object Storage.
Behind Every Question-Answer AI Is a Data Pipeline Built for Scale - Here's How to Build Your Own | HackerNoonA data pipeline using Google Cloud services and LangChain efficiently indexes document embeddings into Redis, supporting RAG-based question-answering systems.
ELT Pipelines May Be More Useful Than You Think | HackerNoonThe order of operations distinguishes ETL from ELT, affecting data processing strategies.
Snowflake snaps up data management company Datavolo | TechCrunchSnowflake acquires Datavolo to enhance data pipeline management and processing for customers, aiming for simplicity and cost savings.
Event Time Processing with Flink and Beam - Power of Real time Analytics | HackerNoonApache Flink enables robust real-time data processing through effectively addressing the elements of what, where, when, and how in the pipeline.
Data pipeline observabilityData observability is critical for accurate invoicing in consumption-based pricing models.
Canva Opts for Amazon KDS over SNS+SQS to Save 85% with 25 Billion Events per DayCanva chose Amazon KDS over other solutions for its Product Analytics Platform due to lower costs and high performance requirements.